Position Summary:You will build the data curriculum-what data our models learn from, in what mix, and in what order-across pre-training and post-training. This is a senior IC role at the heart of model quality, sitting between the data platform and the research teams, and one of our highest-leverage bets.
Core Responsibilities:- Curriculum Ownership: Build the data curriculum-sourcing, mixing, weighting, sequencing, converting-across pre- and post-training.
- Data-Centric Experiments: Run experiments that quantify how curriculum choices move model quality.
- Tooling: Build tooling that makes curriculum changes fast, measurable, and reproducible.
- Understanding Data: Develop an evidence-based understanding of which data helps, which hurts, and why.
- Cross-Team Influence: Partner across research and data teams and mentor on data-centric methodology.
Required Qualifications:- Data-Centric ML: A track record of improving models through data rather than architecture alone.
- Experimental Rigor: Rigor in experimental design and in correctly attributing model changes to data changes.
- Influence: The ability to lead a cross-cutting workstream and influence multiple teams without owning them.
- Engineering: Sound skills to build the tooling your experiments depend on.
- Communication: Clear communication of results and their implications.
Preferred Qualifications:- Experience with large multimodal or VLA training data.
- Familiarity with data-mixture and scaling-law research.
- A history of data-centric wins on real models.
Walden Robotics offers a competitive total compensation program, including salary, annual cash bonus, company equity, company-subsidized insurance programs, 401(k) with company match, flexible PTO, daily lunch, and other benefits. The pay ranges noted on our posts is for salary only.
The pay range for this role is:
255,000 - 340,000 USD per year (BOS)
255,000 - 340,000 USD per year (SF)
